The Experts below are selected from a list of 2640 Experts worldwide ranked by ideXlab platform
Alejandro C Olivieri - One of the best experts on this subject based on the ideXlab platform.
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analytical advantages of multivariate data processing one two three infinity
Analytical Chemistry, 2008Co-Authors: Alejandro C OlivieriAbstract:Multidimensional data are being abundantly produced by modern analytical instrumentation, calling for new and powerful data-processing techniques. Research in the last two decades has resulted in the development of a multitude of different processing algorithms, each equipped with its own sophisticated artillery. Analysts have slowly discovered that this body of knowledge can be appropriately classified, and that common aspects pervade all these seemingly different ways of analyzing data. As a result, going from univariate data (a Single Datum per sample, employed in the well-known classical univariate calibration) to multivariate data (data arrays per sample of increasingly complex structure and number of dimensions) is known to provide a gain in sensitivity and selectivity, combined with analytical advantages which cannot be overestimated. The first-order advantage, achieved using vector sample data, allows analysts to flag new samples which cannot be adequately modeled with the current calibration set....
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analytical advantages of multivariate data processing one two three infinity
Analytical Chemistry, 2008Co-Authors: Alejandro C OlivieriAbstract:Multidimensional data are being abundantly produced by modern analytical instrumentation, calling for new and powerful data-processing techniques. Research in the last two decades has resulted in the development of a multitude of different processing algorithms, each equipped with its own sophisticated artillery. Analysts have slowly discovered that this body of knowledge can be appropriately classified, and that common aspects pervade all these seemingly different ways of analyzing data. As a result, going from univariate data (a Single Datum per sample, employed in the well-known classical univariate calibration) to multivariate data (data arrays per sample of increasingly complex structure and number of dimensions) is known to provide a gain in sensitivity and selectivity, combined with analytical advantages which cannot be overestimated. The first-order advantage, achieved using vector sample data, allows analysts to flag new samples which cannot be adequately modeled with the current calibration set. The second-order advantage, achieved with second- (or higher-) order sample data, allows one not only to mark new samples containing components which do not occur in the calibration phase but also to model their contribution to the overall signal, and most importantly, to accurately quantitate the calibrated analyte(s). No additional analytical advantages appear to be known for third-order data processing. Future research may permit, among other interesting issues, to assess if this "1, 2, 3, infinity" situation of multivariate calibration is really true.
E R Galea - One of the best experts on this subject based on the ideXlab platform.
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proposed methodology for the use of computer simulation to enhance aircraft evacuation certification
Journal of Aircraft, 2006Co-Authors: E R GaleaAbstract:In this paper a methodology for the application of computer simulation to evacuation certification of aircraft is suggested. This involves the use of computer simulation, historic certification data, component testing, and full-scale certification trials. The methodology sets out a framework for how computer simulation should be undertaken in a certification environment and draws on experience from both the marine and building industries. In addition, a phased introduction of computer models to certification is suggested. This involves as a first step the use of computer simulation in conjunction with full-scale testing. The combination of full-scale trial, computer simulation (and if necessary component testing) provides better insight into aircraft evacuation performance capabilities by generating a performance probability distribution rather than a Single Datum. Once further confidence in the technique is established the requirement for the full-scale demonstration could be dropped. The second step in the adoption of computer simulation for certification involves the introduction of several scenarios based on, for example, exit availability, instructed by accident analysis. The final step would be the introduction of more realistic accident scenarios. This would require the continued development of aircraft evacuation modeling technology to include additional behavioral features common in real accident scenarios.
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the use of computer simulation for aircraft evacuation certification a report from the verres project
2004Co-Authors: E R GaleaAbstract:In this paper a methodology for the application of computer simulation to the evacuation certification of aircraft is suggested. The methodology suggested here involves the use of computer simulation, historic certification data, component testing and full-scale certification trials. The proposed methodology sets out a protocol for how computer simulation should be undertaken in a certification environment and draws on experience from both the marine and building industries. Along with the suggested protocol, a phased introduction of computer models to certification is suggested. Given the sceptical nature of the aviation community regarding any certification methodology change in general, this would involve as a first step the use of computer simulation in conjunction with full-scale testing. The computer model would be used to reproduce a probability distribution of likely aircraft performance under current certification conditions and in addition, several other more challenging scenarios could be developed. The combination of full-scale trial, computer simulation (and if necessary component testing) would provide better insight into the actual performance capabilities of the aircraft by generating a performance probability distribution or performance envelope rather than a Single Datum. Once further confidence in the technique is established, the second step would only involve computer simulation and component testing. This would only be contemplated after sufficient experience and confidence in the use of computer models have been developed. The third step in the adoption of computer simulation for certification would involve the introduction of several scenarios based on for example exit availability instructed by accident analysis. The final step would be the introduction of more realistic accident scenarios into the certification process. This would require the continued development of aircraft evacuation modelling technology to include additional behavioural features common in real accident scenarios.
D C Feldmeier - One of the best experts on this subject based on the ideXlab platform.
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a framework of architectural concepts for high speed communication systems
IEEE Journal on Selected Areas in Communications, 1993Co-Authors: D C FeldmeierAbstract:A framework for understanding high-speed communication architectures and protocols is presented. The framework is validated by showing how several concepts fit into it. Two approaches to reduce the number of processing operations required for a Single Datum, the reduction of control processing and the elimination of unneeded or replicated operations, are discussed. Two other approaches for increasing communication system speed by performing more processing operations per unit time, parallel processing and increased processor utilization, are also discussed. >
M C Schraefel - One of the best experts on this subject based on the ideXlab platform.
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put in your postcode out comes the data a case study
International Semantic Web Conference, 2010Co-Authors: Tope Omitola, Christos L Koumenides, Igor Popov, Yang Yang, Manuel Salvadores, Martin Szomszor, Tim Bernerslee, Nicholas Gibbins, Wendy Hall, M C SchraefelAbstract:A Single Datum or a set of a categorical data has little value on its own. Combinations of disparate sets of data increase the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of “join point”(s) to mesh different public datasets. We describe the challenges faced during the implementation, which include, sourcing the datasets, publishing them as linked data, and normalising these linked data in terms of finding the appropriate “join points” from the individual datasets, as well as developing the client application used for data consumption. We describe the design decisions and our solutions to these challenges. We conclude by drawing some general principles from this work.
Tope Omitola - One of the best experts on this subject based on the ideXlab platform.
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put in your postcode out comes the data a case study
International Semantic Web Conference, 2010Co-Authors: Tope Omitola, Christos L Koumenides, Igor Popov, Yang Yang, Manuel Salvadores, Martin Szomszor, Tim Bernerslee, Nicholas Gibbins, Wendy Hall, M C SchraefelAbstract:A Single Datum or a set of a categorical data has little value on its own. Combinations of disparate sets of data increase the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of “join point”(s) to mesh different public datasets. We describe the challenges faced during the implementation, which include, sourcing the datasets, publishing them as linked data, and normalising these linked data in terms of finding the appropriate “join points” from the individual datasets, as well as developing the client application used for data consumption. We describe the design decisions and our solutions to these challenges. We conclude by drawing some general principles from this work.